Search published articles
Niloofar Mohammadzadeh, Negin Ebrahimi, Mojgan Agah Heris,
Volume 16, Issue 4 (10-2022)
Volume 16, Issue 4 (10-2022)
Abstract
Background and Aim: According to the report of the World Health Organization, overweight and chronic and psychological diseases caused by it have reached an alarming level in the world. Today, cognitive behavioral therapy as a specific method for controlling overweight teaches the audience how to identify and change inappropriate behavior patterns and destructive thoughts with distress that negatively affect their behavior and emotions. The purpose of this research was to provide a mobile-based application for overweight control with a cognitive-behavioral therapy approach.
Materials and Methods: This research was of applied-developmental type. In the first stage, by examining the available applications based on mobile and related to weight control and also Beck cognitive therapy protocol for weight loss, the capabilities of the application were identified and then based on a survey of experts, these capabilities were determined. Afterwards, the user interface of the application was designed and the necessary coding was done to use it. The database was then created using MySQL software and the application program was created using Flutter software and Dart programming language and was named CBTdiet. Finally, the usability of the application was evaluated by users using a standard QUIS questionnaire.
Results: Based on the entry and exit criteria, among the 247 identified applications, the capabilities of 17 applications were examined. Finally, according to the opinion of the experts, 21 capabilities, including the ability to send motivational messages to the audience and the ability to reward to achieve weight loss of one kilogram per week, were considered for the design of the application program. The application designed in this research was at a good level from the users’ point of view with an average of 7.99±1.1 and was able to obtain an acceptable level of satisfaction in the evaluation stage. The software’s overall capabilities section got the highest average score (8.12) and the screen section got the lowest average score (7.89) among all sections.
Conclusion: Based on the determined capabilities, a mobile-based application for controlling overweight was designed and created with a cognitive behavioral therapy approach, and it can be effective in overweight control by modifying lifestyle and changing destructive thoughts.
Materials and Methods: This research was of applied-developmental type. In the first stage, by examining the available applications based on mobile and related to weight control and also Beck cognitive therapy protocol for weight loss, the capabilities of the application were identified and then based on a survey of experts, these capabilities were determined. Afterwards, the user interface of the application was designed and the necessary coding was done to use it. The database was then created using MySQL software and the application program was created using Flutter software and Dart programming language and was named CBTdiet. Finally, the usability of the application was evaluated by users using a standard QUIS questionnaire.
Results: Based on the entry and exit criteria, among the 247 identified applications, the capabilities of 17 applications were examined. Finally, according to the opinion of the experts, 21 capabilities, including the ability to send motivational messages to the audience and the ability to reward to achieve weight loss of one kilogram per week, were considered for the design of the application program. The application designed in this research was at a good level from the users’ point of view with an average of 7.99±1.1 and was able to obtain an acceptable level of satisfaction in the evaluation stage. The software’s overall capabilities section got the highest average score (8.12) and the screen section got the lowest average score (7.89) among all sections.
Conclusion: Based on the determined capabilities, a mobile-based application for controlling overweight was designed and created with a cognitive behavioral therapy approach, and it can be effective in overweight control by modifying lifestyle and changing destructive thoughts.
Fatemeh Bahador, Azam Sabahi, Somayeh Paydar, Fatemeh Zangooei Seno,
Volume 16, Issue 6 (1-2023)
Volume 16, Issue 6 (1-2023)
Abstract
Background and Aim: Today along with information technology development, telemedicine technology has expanded dramatically. Sinse telemedicine technology relies on data transmission, it is essential to pay attention to issues such as network security, confidentiality, and privacy of patients. Therefore, the aim of this study was to determine the importance of information security requirements in telemedicine networks based on managers and employees of the information technology unit of the University and teaching hospitals of Birjand city
Materials and Methods: This descriptive cross-sectional study was conducted in year 2021. The research population was The managers and employees of the information technology unit of the university and teaching hospitals of Birjand city (40 people), who were surveyed by the census. The study tool was a researcher-made questionnaire that confirmed its validity by faculty members and experts, and its reliability was calculated with Cronbach’s alpha (0.83). After collecting the data, they were entered into the SPSS software and were analyzed using descriptive statistics.
Results: The results showed that the security requirement related to information transportation is more important than other requirements. Also in the field of human resources, providing detailed documentation and training guides for users of the systems was with an average of (4.47). In the medical diagnosis equipment field, telemedicine network systems are equipped with emergency power was with an average of (4.72). In the storage and access to information context, installing antiviruses and anti-malware on all systems was with an average of (4.75), and also in the field of information transfer, encryption of important and sensitive files and information was with an average of (4.69) were the most important security needs.
Conclusions: As the results showed, security requirements related to information transfer have more importance than other requirements; Initially, information security can be guaranteed by creating security policies, updating and monitoring their implementation, as well as training employees. However, in order to transfer sensitive medical information, encryption and qualification verification methods, secure information transfer protocols, virtual and private networks (VPN) and other new technologies can be used in this field. Of course, necessary preparations should be made to create appropriate technical infrastructure for the implementation of security policies in information transmission.
Materials and Methods: This descriptive cross-sectional study was conducted in year 2021. The research population was The managers and employees of the information technology unit of the university and teaching hospitals of Birjand city (40 people), who were surveyed by the census. The study tool was a researcher-made questionnaire that confirmed its validity by faculty members and experts, and its reliability was calculated with Cronbach’s alpha (0.83). After collecting the data, they were entered into the SPSS software and were analyzed using descriptive statistics.
Results: The results showed that the security requirement related to information transportation is more important than other requirements. Also in the field of human resources, providing detailed documentation and training guides for users of the systems was with an average of (4.47). In the medical diagnosis equipment field, telemedicine network systems are equipped with emergency power was with an average of (4.72). In the storage and access to information context, installing antiviruses and anti-malware on all systems was with an average of (4.75), and also in the field of information transfer, encryption of important and sensitive files and information was with an average of (4.69) were the most important security needs.
Conclusions: As the results showed, security requirements related to information transfer have more importance than other requirements; Initially, information security can be guaranteed by creating security policies, updating and monitoring their implementation, as well as training employees. However, in order to transfer sensitive medical information, encryption and qualification verification methods, secure information transfer protocols, virtual and private networks (VPN) and other new technologies can be used in this field. Of course, necessary preparations should be made to create appropriate technical infrastructure for the implementation of security policies in information transmission.
Fatemeh Bahador, Azam Sabahi, Samaneh Jalali, Fatemeh Ameri,
Volume 16, Issue 6 (1-2023)
Volume 16, Issue 6 (1-2023)
Abstract
Background and Aim: Diabetes is one of the most common metabolic diseases in Iran and the fifth leading cause of death all over the world. Its spread around the world has created new methods in biomedical research, including artificial intelligence. The present study was carried out to review the studies conducted in the area of artificial intelligence and diabetes in Iran.
Materials and Methods: This study was carried out using a systematic review method. Valid domestic databases, including Irandoc, Magiran, Sid and Google Scholar search engine, were reviewed using the keywords of artificial intelligence and diabetes in Persian both individually and in a combined manner without time limitation until June 20, 2021. A total number of 7495 articles were retrieved, which were screened in different stages (exclusion of duplicates (1824), title and summary of the articles (5884) and full text (30) and finally 20 articles that met the criteria desired by the researchers were carefully reviewed.
Results: Among the retrieved articles, 20 articles met the inclusion criteria, of which 16 articles dealt with methods based on artificial intelligence and 4 articles dealt with the design of new systems based on artificial intelligence. Also, 10 articles examined the role of artificial intelligence in prediction, 8 articles in diagnosis, and 2 articles dealt with the control and management of diabetes. Most of the articles were related to the use of data mining methods such as artificial neural network, decision tree, etc. (16 articles). Some studies also evaluated and compared artificial intelligence methods on application, accuracy and the sensitivity of artificial intelligence in diagnosing and predicting diabetes (10 studies).
Conclusion: A systematic review of articles revealed that the use of data mining methods for diabetes management in Iran has been associated with good progress, but there is a need to design artificial intelligence systems and algorithms and more measures should be taken in the area of diabetes control and management.
Materials and Methods: This study was carried out using a systematic review method. Valid domestic databases, including Irandoc, Magiran, Sid and Google Scholar search engine, were reviewed using the keywords of artificial intelligence and diabetes in Persian both individually and in a combined manner without time limitation until June 20, 2021. A total number of 7495 articles were retrieved, which were screened in different stages (exclusion of duplicates (1824), title and summary of the articles (5884) and full text (30) and finally 20 articles that met the criteria desired by the researchers were carefully reviewed.
Results: Among the retrieved articles, 20 articles met the inclusion criteria, of which 16 articles dealt with methods based on artificial intelligence and 4 articles dealt with the design of new systems based on artificial intelligence. Also, 10 articles examined the role of artificial intelligence in prediction, 8 articles in diagnosis, and 2 articles dealt with the control and management of diabetes. Most of the articles were related to the use of data mining methods such as artificial neural network, decision tree, etc. (16 articles). Some studies also evaluated and compared artificial intelligence methods on application, accuracy and the sensitivity of artificial intelligence in diagnosing and predicting diabetes (10 studies).
Conclusion: A systematic review of articles revealed that the use of data mining methods for diabetes management in Iran has been associated with good progress, but there is a need to design artificial intelligence systems and algorithms and more measures should be taken in the area of diabetes control and management.
Arash Farvahari, Mina Danaei, Ali Sheibani Tezerji, Mohsen Momeni,
Volume 16, Issue 6 (1-2023)
Volume 16, Issue 6 (1-2023)
Abstract
Background and Aim: Nowadays, due to people using antibiotics without prescription, the resistance of the bodies to antibiotics has been a major health issue in the world. This study aimed to investigate the consumption of antibiotics without prescription among the people that go to the health care centers of Kerman.
Materials and Methods: This descriptive-analytical study was conducted from April to September 2019, cross-sectionally on 331 people who were referred to the health care centers of Kerman city by the available sampling method. In this research, a valid questionnaire was used to collect information. Data was analyzed with SPSS statistical software, using t-test and chi-square statistical tests.
Results: The average age of the referred people in this study was 38.6±10.76 years, 135 (40.4%) were males and 194 (60.6%) were females. More than two-thirds of people had a higher education than deploma degrees. The self-medication prevalence with antibiotics was 32.9%. The most common cause of self-inflicted use of antibiotics is unwillingness to pay (34.4%), the most common types of antibiotics used are amoxicillin (25%) and azithromycin (24%), and the most common form of medicine used is pills (55.5%). Respiratory infections were also the most common cause of self-inflicted use of antibiotics (42.2%). Pharmacies were the most common source of information about how to use antibiotics (53.9%). Also, self-medication with antibiotics in married people (P=0.015). people with self employed jobs (P=0.031) and people without medical insurance (P<0.001) were significantly more than the other studied group.
Conclusion: The results of the present study showed self-medication with antibiotics is highly prevalent in Kerman city, and policy makers should take interventions to increase people’s awareness of the risks and side effects of self-inflicted use of antibiotics, as well as drug resistance created as a result, in order to reduce the self-inflicted use of these drugs.
Materials and Methods: This descriptive-analytical study was conducted from April to September 2019, cross-sectionally on 331 people who were referred to the health care centers of Kerman city by the available sampling method. In this research, a valid questionnaire was used to collect information. Data was analyzed with SPSS statistical software, using t-test and chi-square statistical tests.
Results: The average age of the referred people in this study was 38.6±10.76 years, 135 (40.4%) were males and 194 (60.6%) were females. More than two-thirds of people had a higher education than deploma degrees. The self-medication prevalence with antibiotics was 32.9%. The most common cause of self-inflicted use of antibiotics is unwillingness to pay (34.4%), the most common types of antibiotics used are amoxicillin (25%) and azithromycin (24%), and the most common form of medicine used is pills (55.5%). Respiratory infections were also the most common cause of self-inflicted use of antibiotics (42.2%). Pharmacies were the most common source of information about how to use antibiotics (53.9%). Also, self-medication with antibiotics in married people (P=0.015). people with self employed jobs (P=0.031) and people without medical insurance (P<0.001) were significantly more than the other studied group.
Conclusion: The results of the present study showed self-medication with antibiotics is highly prevalent in Kerman city, and policy makers should take interventions to increase people’s awareness of the risks and side effects of self-inflicted use of antibiotics, as well as drug resistance created as a result, in order to reduce the self-inflicted use of these drugs.
Mouna Rafizadeh, Reza Safdari, Jaleh Shoshtarian Malak, Shaban Alizadeh,
Volume 17, Issue 2 (5-2023)
Volume 17, Issue 2 (5-2023)
Abstract
Background and Aim: Simulation-based Mobile Education is one of the necessities of the new era as well as an escalating field to meet the needs of different educational systems and levels. Considering the increasing application of simulation-based technologies, and the popularity of Augmented Reality (AR) in the field of education, the present research aims to facilitate the initial steps in understanding the technical requirements and software used in developing these types of apps.
Materials and Methods: The data required for this research was collected by searching in library resources to identify the commonly used platform/software in designing and developing AR-based educational apps. At the same time, the included studies’ app features/sections were also extracted, and the total of this information was presented in a table. After indicating the mainly used software in the development of these types of apps, a simple app architecture and a how-to-develop model using the most practical software were illustrated.
Results: “3D Model display” and “multiple-choice questions” were identified as the minimum (basic) features of an AR-based educational app. To identify the most commonly used software in creating AR-based educational apps, articles were reviewed, required information was extracted, and gathered in form of a table. The results of the review showed that Unity 3D and Vuforia have the highest usage statistics in creating these types of apps. Finally, a simple model of the process of developing AR-based educational app and a sample output of this type of app were presented based on this information.
Conclusions: Simulation-based education is one of the prominent and growing topics worldwide. Augmented Reality is one of the most renowned and widely used technologies in this field. The results of this study encompass a set of basic features of an AR-based educational app as well as the software that can be used to create such apps. Therefore, this study can assist researchers interested in this field in navigating the simplest path to developing an AR-based educational app by providing them with an initial technical understanding of AR-based education.
Materials and Methods: The data required for this research was collected by searching in library resources to identify the commonly used platform/software in designing and developing AR-based educational apps. At the same time, the included studies’ app features/sections were also extracted, and the total of this information was presented in a table. After indicating the mainly used software in the development of these types of apps, a simple app architecture and a how-to-develop model using the most practical software were illustrated.
Results: “3D Model display” and “multiple-choice questions” were identified as the minimum (basic) features of an AR-based educational app. To identify the most commonly used software in creating AR-based educational apps, articles were reviewed, required information was extracted, and gathered in form of a table. The results of the review showed that Unity 3D and Vuforia have the highest usage statistics in creating these types of apps. Finally, a simple model of the process of developing AR-based educational app and a sample output of this type of app were presented based on this information.
Conclusions: Simulation-based education is one of the prominent and growing topics worldwide. Augmented Reality is one of the most renowned and widely used technologies in this field. The results of this study encompass a set of basic features of an AR-based educational app as well as the software that can be used to create such apps. Therefore, this study can assist researchers interested in this field in navigating the simplest path to developing an AR-based educational app by providing them with an initial technical understanding of AR-based education.
Marjan Ghazi Saeedi, Mohammad Amin Abbasi Eslamloo, Kobra Darabiyan, Elham Ataei,
Volume 17, Issue 3 (8-2023)
Volume 17, Issue 3 (8-2023)
Abstract
Background and Aim: Despite the continuous progress in medicine, COPD (Chronic Obstructive Pulmonary Disease) is still a progressive, incurable and chronic respiratory condition that limits the patients’ functions in various dimensions, and significantly reduce their quality of life. In this way, self-care of patients and the use of related tools have a significant effect in disease control and treatment. The purpose of this research was design and development of an android-based application for COPD.
Materials and Methods: This research was a descriptive developmental type with a practical approach. Initially, based on the study of library resources, guidelines, and the examination of the medical records of COPD inpatients in Firouzabadi Hospital, a questionnaire was designed to identify the information requirements, data items and features of the application. Then it was reviewed and finalized by a sample of 10 (randomized and convenience sampling) internal and lung specialist doctors in Firouzabadi and Hazrat Rasool hospitals affiliated to Iran University of Medical Sciences. The data was analyzed using descriptive statistics, and then scenario tables and UML diagrams were illustrated to show the overall flow of the application. The application was designed and developed using the Java programming language in the Android Studio 2021 platform. After installing the application on the mobile phones of ten COPD patients of the internal and pulmonary clinic of Firouzabadi Shahre Rey Hospital, and using it for a week, the opinions of the patients about the usability of the application were collected through the QUIS questionnaire, and analyzed.
Results: Application sections were determined following experts’ survey, personal information items, clinical information, disease management, reporting, and training points, which were provided to patients after design for use and evaluation. At the end of the research, the results of the evaluation of the usability and satisfaction level of the application showed that from the patients’ point of view, the application is at a good level with an average score of 1.8 (out of 10 points).
Conclusion: The developed self-care application can be used to increase awareness, help to manage the disease, increase the level of quality of life, and reduce the complications and disease burden for patients with COPD.
Materials and Methods: This research was a descriptive developmental type with a practical approach. Initially, based on the study of library resources, guidelines, and the examination of the medical records of COPD inpatients in Firouzabadi Hospital, a questionnaire was designed to identify the information requirements, data items and features of the application. Then it was reviewed and finalized by a sample of 10 (randomized and convenience sampling) internal and lung specialist doctors in Firouzabadi and Hazrat Rasool hospitals affiliated to Iran University of Medical Sciences. The data was analyzed using descriptive statistics, and then scenario tables and UML diagrams were illustrated to show the overall flow of the application. The application was designed and developed using the Java programming language in the Android Studio 2021 platform. After installing the application on the mobile phones of ten COPD patients of the internal and pulmonary clinic of Firouzabadi Shahre Rey Hospital, and using it for a week, the opinions of the patients about the usability of the application were collected through the QUIS questionnaire, and analyzed.
Results: Application sections were determined following experts’ survey, personal information items, clinical information, disease management, reporting, and training points, which were provided to patients after design for use and evaluation. At the end of the research, the results of the evaluation of the usability and satisfaction level of the application showed that from the patients’ point of view, the application is at a good level with an average score of 1.8 (out of 10 points).
Conclusion: The developed self-care application can be used to increase awareness, help to manage the disease, increase the level of quality of life, and reduce the complications and disease burden for patients with COPD.
Mohamad Jebraeily, Shima Touraj, Farid Khorrami,
Volume 17, Issue 3 (8-2023)
Volume 17, Issue 3 (8-2023)
Abstract
Background and Aim: In the health system, reimbursement methods are an important criterion for the allocation of resources and the performance of service providers. The use of diagnosis-related groups (DRG) system reduces the length of stay and additional costs of the patient, prevents unnecessary treatment, increases resource efficiency and transparency of health care services. The development of the DRG system focuses on the accurate documentation of medical records and the correct coding of diagnoses and procedures. The purpose of this research is to evaluate the documentation and coding requirements of medical records in the implementation of a payment system based on diagnosis-related groups in Iran.
Materials and Methods: This research was descriptive-cross-sectional and was conducted in 2022. The data collection tool was a researcher-made checklist, the validity of which was confirmed based on the opinion of experts (health information management health economics) and its reliability was obtained by calculating Cronbach’s alpha (0.83). The research population consisted of 418 medical records in five medical training centers affiliated to Urmia University of Medical Sciences, which were selected through stratified-proportional sampling. Data were analyzed using SPSS software.
Results: The results of the evaluation of the documentation and coding requirements of medical records for the implementation of the DRG system showed that the demographic/administrative variables including age, sex, type of admission, length of stay, health insurance, and doctor’s expertise were completely recorded. Evaluation of clinical variables also showed that the main diagnosis, main procedure, secondary diagnosis and other procedures were documented in medical records in 98%, 97%, 88% and 75% respectively. Regarding the coding of the main diagnosis and the main procedure, 100%, secondary diagnosis 68% and other procedures 80% have been done.
Conclusion: Considering that some essential clinical variables for the implementation of DRG, especially co-morbidities, complications and other procedures are not recorded separately and completely, therefore it is necessary to define separate information elements in medical records and HIS for accurate recording of these variables and proper interaction between coders and doctors is established to increase the possibility of correct coding. It is also suggested that the DRG system be implemented in our country in a phased and gradual approach so that necessary changes are made in the documentation process and hospital information systems.
Materials and Methods: This research was descriptive-cross-sectional and was conducted in 2022. The data collection tool was a researcher-made checklist, the validity of which was confirmed based on the opinion of experts (health information management health economics) and its reliability was obtained by calculating Cronbach’s alpha (0.83). The research population consisted of 418 medical records in five medical training centers affiliated to Urmia University of Medical Sciences, which were selected through stratified-proportional sampling. Data were analyzed using SPSS software.
Results: The results of the evaluation of the documentation and coding requirements of medical records for the implementation of the DRG system showed that the demographic/administrative variables including age, sex, type of admission, length of stay, health insurance, and doctor’s expertise were completely recorded. Evaluation of clinical variables also showed that the main diagnosis, main procedure, secondary diagnosis and other procedures were documented in medical records in 98%, 97%, 88% and 75% respectively. Regarding the coding of the main diagnosis and the main procedure, 100%, secondary diagnosis 68% and other procedures 80% have been done.
Conclusion: Considering that some essential clinical variables for the implementation of DRG, especially co-morbidities, complications and other procedures are not recorded separately and completely, therefore it is necessary to define separate information elements in medical records and HIS for accurate recording of these variables and proper interaction between coders and doctors is established to increase the possibility of correct coding. It is also suggested that the DRG system be implemented in our country in a phased and gradual approach so that necessary changes are made in the documentation process and hospital information systems.
Leila Erfannia, Azita Yazdani,
Volume 17, Issue 3 (8-2023)
Volume 17, Issue 3 (8-2023)
Abstract
Background and Aim: With the spread of the Corona pandemic, the statistics of the number of mobile health applications have grown significantly. This research was conducted with the aim of evaluating the content of Persian language applications in the management of Covid-19.
Material and Methods: In this review research, a systematic search for Persian language programs in the field of Covid-19 management was conducted in four mobile application markets including Myket, Bazzar, Google Play and App Store. The content of the programs was evaluated based on a researcher-made checklist, which was verified according 3 specialist comments, in the five axes of ease of use, education, monitoring, privacy and data sharing. Programs that received more than 50% of the evaluation score were introduced as selected programs. By removing duplicate programs, 119 programs were extracted, of which 21 programs entered the final stage of quality evaluation based on the inclusion and exclusion criteria and after a complete review of the content and capabilities.
Results: Based on the total points of the program, Safiran Salamat received the most score (31), Ac19 and mask were ranked next with 27 and 22 points, respectively. These three programs along with Corona Amar Tashkhis as fourth program received more than 50% of the content review and 17 other programs received less than 50% of the total score. Government has a great role in programs development (three program were government and one was non- government base). All 4 programs, had acceptable score in ease of use but none of them develop for user tracking. Pearson’s correlation test was used to test the relationship between the quality (total scores of apps) and the popularity (amount of downloads), and no significant correlation was observed.
Conclusion: The results of the present study showed that Iranian mobile applications have an acceptable performance in the fields of education and information sharing, but their low popularity makes the achievement of these goals far from expected. Marketing strategies can be effective as one of the useful policy in increasing the use of mobile health programs. Also, the inclusion of capabilities such as contact tracing and online consultations can be fruitful in the pursuit of goals.
Material and Methods: In this review research, a systematic search for Persian language programs in the field of Covid-19 management was conducted in four mobile application markets including Myket, Bazzar, Google Play and App Store. The content of the programs was evaluated based on a researcher-made checklist, which was verified according 3 specialist comments, in the five axes of ease of use, education, monitoring, privacy and data sharing. Programs that received more than 50% of the evaluation score were introduced as selected programs. By removing duplicate programs, 119 programs were extracted, of which 21 programs entered the final stage of quality evaluation based on the inclusion and exclusion criteria and after a complete review of the content and capabilities.
Results: Based on the total points of the program, Safiran Salamat received the most score (31), Ac19 and mask were ranked next with 27 and 22 points, respectively. These three programs along with Corona Amar Tashkhis as fourth program received more than 50% of the content review and 17 other programs received less than 50% of the total score. Government has a great role in programs development (three program were government and one was non- government base). All 4 programs, had acceptable score in ease of use but none of them develop for user tracking. Pearson’s correlation test was used to test the relationship between the quality (total scores of apps) and the popularity (amount of downloads), and no significant correlation was observed.
Conclusion: The results of the present study showed that Iranian mobile applications have an acceptable performance in the fields of education and information sharing, but their low popularity makes the achievement of these goals far from expected. Marketing strategies can be effective as one of the useful policy in increasing the use of mobile health programs. Also, the inclusion of capabilities such as contact tracing and online consultations can be fruitful in the pursuit of goals.
Sanam Lotfi, Reza Safdari, Dr Kurosh Jafarian,
Volume 17, Issue 4 (10-2023)
Volume 17, Issue 4 (10-2023)
Abstract
Background and Aim: Nutrition recommender systems are one of the most prominent technologies in the field of nutrition informatics that help users to have a healthy diet. These systems are able to suggest the most appropriate foods and meal plans considering the child's physical condition. Considering that children are the most vulnerable age group, one of the most important health goals in the early years of a child's life is achieving balanced and correct nutrition, and as a result this study was conducted with the aim of designing, creating and evaluating a children's nutrition recommendation system.
Materials and Methods: This research was conducted in 2022 in three stages to assess the needs of the informational elements of the nutrition recommender application. First, in order to determine data capabilities of the program, data needs analysis has been done. In the following, based on the needs assessment, the application was designed and its final version was created. The application was created in the Android Studio environment and then its technical applicability was done using the Nielsen questionnaire by 5 medical informatics and health information management experts.
Results: The required information capabilities of the program were determined and after the statistical analysis of the questionnaire, most of the items raised in it were deemed necessary by the experts participating in the research with a high percentage (90%) and were included in the application program. Then the design and creation of the nutrition recommender application for children 1 to 5 years old was done in the Android Studio programming environment. Finally, the use of Nielsen's exploratory evaluation questionnaire and its technical applicability were evaluated by experts. The average severity of the problems related to Nielsen's ten principles was 1.3, which is classified as minor problems.
Conclusion: Using the nutrition recommender application will be a useful solution to increase parents' awareness of the child's growth status in terms of age, height and head circumference. This program has improved nutritional health, improved mental health, and better growth of children and will play a significant role in preventing the occurrence of diseases by using appropriate nutritional recommendations.
Zohreh Javanmard, Marziyhe Meraji, Mahsa Gholizad, Fatemeh Ameri,
Volume 17, Issue 4 (10-2023)
Volume 17, Issue 4 (10-2023)
Abstract
Background and Aim: With the increase of the covid-19 epidemic, wearable devices have received a lot of attention in the field of managing this disease. The present systematic review study was conducted with the aim of investigating the role of wearable devices in the management of the covid-19 disease.
Materials and Methods: The present study was conducted according to the guidelines of PRISMA. For this purpose, Web of Science, PubMed, and Scopus databases were searched to retrieve English articles without time limit, until August 16, 2022. The search strategy included the terms “Wearable Device” and “COVID-19”. The inclusion criteria for the study were original and English-language articles that have been carried out to design and implement wearable tools in managing Covid-19. All short articles, letters to the editor, conference abstracts, observational studies, review articles, as well as articles whose full version was not available and in a language other than English, as well as unimplemented items, were excluded from the study process. In order to evaluate the quality of articles, the AXIS evaluation tool was used to evaluate the quality of cross-sectional studies. After selecting the studies, data was collected based on the data extraction form. Then the data was analyzed through the content analysis method.
Results: Finally, 10 articles were included in the present review and the wearable devices introduced in them were examined. Seventy percent of wearable devices are used for symptom monitoring, health status, and quarantine, and 30% for diagnosis. The primary users of these tools were patients, the general public, doctors, and Authorities of statistics and information. The types of wearable devices used were bracelets and smart watches (60%), sensors (30%), pulse oximeters, and chest patches (10%).The most important capability and feature of wearable devices include transferring data and activities to mobile phones and low energy consumption. Using the AXIS quality assessment tool, four studies were rated as very good, five as good, and one as poor.
Conclusion: The review of studies showed that wearable devices provide many capabilities for disease monitoring and patient empowerment, disease diagnosis, and remote monitoring of vital signs of Covid-19 patients. These tools are presented in different forms. It is suggested to develop new tools with the aim of monitoring the covid-19 disease with an emphasis on the use of patients in the form of bracelets and smartwatches, and also the necessary attention should be paid to privacy and confidentiality issues.
Hamid Moghaddasi, Farkhondeh Asadi, Azamossadat Hosseini, Masoomeh Nouri Tahneh,
Volume 17, Issue 4 (10-2023)
Volume 17, Issue 4 (10-2023)
Abstract
Background and Aim: The Hospital Information System is a complete one to provide high-quality patient care and enhance community health, so it must be designed and produced accordingly. In this regard, the current research was carried out with the aim of providing the document of standards for producing Hospital Information System software for Iran.
Materials and Methods: In this study, following extraction of the features and services of the Hospital Information System from the texts, they were matched with the generalities of the document of standards compiled by the Statistical Data Management and Information Technology Office of the Ministry of Health, Treatment, and Medical Education (SDMITO). Also, the Hospital Information System was reviewed observationally, all defects of document of standards were identified, and the document was amended throughout. After providing the proposed document of standards, it was consulted by a group of experts, which included ten health information management professors, ten medical informatics professors (with at least seven years of experience as members of the academic staff), and five heads of the information technology field of the Ministry of Health. An agreement coefficient of 85% was considered to accept and approve the document of standards. After obtaining the agreement coefficient, The Hospital Information System software production document of standards was provided.
Results: The document of standards provided for the production of Hospital Information System software includes the Hospital Information System design meta model, Hospital Information System subtypes, standards for the structure and content of Electronic Health Record, information terminology standards, data classification standards, security data standards, data exchange standards, clinical services, and management services, which were placed in the four areas of “features”, “services”, “documentation requirements” and “rules and policies”.
Conclusion: The application of this document of standards leads to the production of a higher quality, efficient, and standard Hospital Information System software, which is effective in improving the health level of society and provides the conditions for the implementation of Electronic Health Record.
Setareh Talayeh, Farzad Firouzi Jahantigh, Fatemeh Bahman,
Volume 17, Issue 5 (12-2023)
Volume 17, Issue 5 (12-2023)
Abstract
Background and Aim: The tourism industry plays a very important role in the economic cycle of society. Medical tourism, as one of the types of tourism industries, has a direct result in globalizing health care. Therefore, by strengthening the supply chain in this area, a very high added value can be achieved. For this reason, the present study provides a conceptual framework for predicting the demand for medical tourism supply chain by determining the relationship between medical tourism demand and economic, medical, and welfare-service components of Zahedan city.
Materials and Methods: The present study is a descriptive-analytical and applied research. Data were collected using a questionnaire and field and library methods. The statistical population of interest was specialist doctors in Zahedan city, and 97 people were selected using simple random sampling with Morgan’s table. The validity of the questionnaire was confirmed by experts and its reliability was obtained using Cronbach’s alpha coefficient with SPSS software more than 0.7. Data analysis was performed using the tangent sigmoid neural network algorithm, linear regression criteria, and mean square error. For this purpose, SPSS software was used to examine the correlation between the data, and MATLAB software was used to design the neural network.
Results: There was anerrore in The basis for the optimality of the answers, linear regression criteria and mean square error. The results showed that the values related to regression, education, and health were more than 0.8 and were 0.9033, 0.8818, and 0.9985, respectively. The highest priorities of the respondents related to medical equipment, education, and health were 0.5657, 0.5558, and 0.20726, respectively.
Conclusion: According to the results obtained from the proposed model, the neural network has a high accuracy in predicting the demand for medical tourism supply chain in terms of education, health, and welfare. It is also predicted that the demand for medical tourism has been constant during the one-year period of research and it is expected that medical tourism in Zahedan city will decrease in future. Therefore, it is recommended that officials pay attention to the development and improvement of medical tourism to promote it.
Saeed Barzegari, Marjan Ghazi Saeedi, Roghieh Nazari, Seif Ali Mahdavi, Seyed Alireza Hasani,
Volume 17, Issue 5 (12-2023)
Volume 17, Issue 5 (12-2023)
Abstract
Background and Aim: The use of Mobile-Health is helpful in facilitating therapeutic communication between students and healthcare providers. Considering the benefits of the Mobile-Health, it is very important to have a tool that can check the motivation to use Mobile-Health. Therefore, this study was conducted with the aim of Psychometric properties of mHealth Technology Engagement Index.
Materials and Methods: The present study is psychometric research that was conducted in Tehran University of Medical Sciences in 1401. The participants of this study were 450 students of medical sciences in Tehran in undergraduate, master’s and doctorate levels who were included in the study through convenience sampling. The psychometric characteristics of the questionnaire were examined through face, content and construct validity respectively. Principal component analysis was performed using varimax rotation in order to check the factorial structure of the questionnaire. The reliability of the questionnaire was checked with the help of Cronbach’s alpha and intra- class correlation (ICC).
Results: The questionnaire’s content validity ratio (CVR) and content validity index (CVI) were 0.91 and 0.86, respectively. In the formal validity check, minor changes were made in the words of most of the items. Based on the results of face validity, some minor changes were made to the vocabulary of most items. The ICC coefficient was more than 0.80 in all dimensions. The results of exploratory and confirmatory factor analysis extracted five factors, autonomy, competence, relatedness, goal setting and goal attainment, and their cumulative variance was %71.48. The fit of the five-factor model was optimal based on standard goodness of fit indices such as CFI=0.978, GFI=0.930, RMSEA=0.040, CMIN/DF=1.307. Convergent and divergent validity was accepted for all factors. The reliability of the questionnaire was obtained using Cronbach’s alpha test of 0.71.
Conclusion: The five factor structure of the questionnaire of interaction with mobile health technology has good validity and reliability. Therefore, this questionnaire can be used to check the level of interaction of users of medical science students with mobile health technology.
Materials and Methods: The present study is psychometric research that was conducted in Tehran University of Medical Sciences in 1401. The participants of this study were 450 students of medical sciences in Tehran in undergraduate, master’s and doctorate levels who were included in the study through convenience sampling. The psychometric characteristics of the questionnaire were examined through face, content and construct validity respectively. Principal component analysis was performed using varimax rotation in order to check the factorial structure of the questionnaire. The reliability of the questionnaire was checked with the help of Cronbach’s alpha and intra- class correlation (ICC).
Results: The questionnaire’s content validity ratio (CVR) and content validity index (CVI) were 0.91 and 0.86, respectively. In the formal validity check, minor changes were made in the words of most of the items. Based on the results of face validity, some minor changes were made to the vocabulary of most items. The ICC coefficient was more than 0.80 in all dimensions. The results of exploratory and confirmatory factor analysis extracted five factors, autonomy, competence, relatedness, goal setting and goal attainment, and their cumulative variance was %71.48. The fit of the five-factor model was optimal based on standard goodness of fit indices such as CFI=0.978, GFI=0.930, RMSEA=0.040, CMIN/DF=1.307. Convergent and divergent validity was accepted for all factors. The reliability of the questionnaire was obtained using Cronbach’s alpha test of 0.71.
Conclusion: The five factor structure of the questionnaire of interaction with mobile health technology has good validity and reliability. Therefore, this questionnaire can be used to check the level of interaction of users of medical science students with mobile health technology.
Mrs Fatemeh Rangraz Jeddi, Ehsan Nabovati, Shima Anvari Tafti, Parisa Yousefi Konjdar,
Volume 17, Issue 5 (12-2023)
Volume 17, Issue 5 (12-2023)
Abstract
Background and Aim: A medication dashboard could provide executive directors and managers with the ability to manage medication resources in hospitals. This study aimed to design, implement, and evaluate a medication resources management dashboard for general hospitals.
Materials and Methods: This study was of the development-applied type conducted in an academic therapeutic community center. Based on scientific sources, the dashboard’s key performance indicators (KPIs) and functional requirements were identified. The data collection tool was a questionnaire comprising demographic information, KPIs, and functional requirements. The dashboard conceptual model was designed using Rational Rose software, and then POWER BI software was used to develop the system. The usability of the dashboard was evaluated using the standard questionnaire for End User Computing Satisfaction by 10 users. The data were analyzed in SPSS software using descriptive statistics.
Results: The most important KPIs determined for a medication resources management dashboard in general hospitals were “the ratio of antibiotic consumption to total number of drugs”, “the ratio of the antibiotic prescribed by general practitioners to total number of drugs”, “the ratio of patients for whom antibiotics were prescribed to all patients”, and “the ratio of the number of drug items prescribed by specialists to all physicians”. The most important functional requirements determined were “updating information at specific intervals “, “checking the dashboard at different time intervals”, “defining access levels to view the information”, and “choosing between graphical and tabular displays”. Usability evaluation showed that users’ satisfaction with the dashboard content variable was “very high” and for the other variables was at a “high” level.
Conclusion: The KPIs associated with antibiotics and drug costs within the medication dashboard of general hospitals are high priority. Future studies should evaluate the impact of using a medication dashboard on hospital executive directors’ and managers’ decision-making.
Reza Safdari, Sharare Rostam Niakan Kalhori, Afzal Shamsi, Homa Hajizadegan,
Volume 17, Issue 5 (12-2023)
Volume 17, Issue 5 (12-2023)
Abstract
Background and Aim: Atherosclerosis of coronary arteries is the most common heart disease and indication of coronary artery bypass graft(CABG). After CABG, patients need proper self-care and lifestyle changes to increase their quality of life. The present research aimed to the conceptual design of self-care Android software, focusing on the third phase of cardiac rehabilitation.
Materials and Methods: This descriptive research has been carried out in two main phases and a total of six steps in order to assess the informational and functional needs of self-care software and design its conceptual model. After searching in reliable scientific sources and guidelines and checking the available Persian software, through the content validity index questionnaire of Lavshe, Welts and Bassel, 23 people from the medical staff with a history of caring for heart patients participated in the step of determining the requirements and the results were analyzed using SPSS Software. Descriptive analysis was done. Finally, the software model was prepared using integrated modeling language and th mind map was drawn.
Results: Sixty two items were identified in 6 general categories (personal information, medical records, interventions, personal health record, essential information, emergency communication). In the phase of determining the requirements by the experts, 52 items were accepted and 10 items were included in the conceptual model of the application program with minor changes and revisions.
Conclusion: Using mobile health in self-care and cardiac rehabilitation will be a suitable solution in order to increase treatment, follow-up and optimal continuation of self-care in patients. By having different functions, this tool can facilitate lifestyle change and help patients in secondary prevention of cardiovascular events and improve their health.
Mashallah Torabi, Sara Naeimi, Elnaz Vahedi, Hamideh Hamidi,
Volume 17, Issue 6 (2-2024)
Volume 17, Issue 6 (2-2024)
Abstract
Background and Aim: Educating the audience is one of the things that can affect their mental perception of the usefulness and ease of utilizing technology. Due to the lack of knowledge about the unique features and ease of use of Tehran University of Medical Sciences website, some audiences prefer to use the old website and do not accept the changes on the university website well. This research was conducted with the aim of comparing the two methods of face-to-face training and clip training in accepting information technology changes on the university website and evaluating the audience’s awareness of branding features on the web.
Materials and Methods: There were 90 people who participated in this study, 45 of whom received face-to-face training and 45 of them received training about site changes through video clips. Research data collection was done based on Davis questionnaire and data analysis was done using SPSS and Padprism graph software. To compare a quantitative variable in more than two groups, one-way analysis of variance test or Kruskal-Wallis test and also, and also, one-way ANCOVA test were used to check the difference between groups before and after training.
Results: In face-to-face training, variables such as awareness, usefulness and perceived ease of use, as well as attitude and performance regarding the use of information technology before and after face-to-face training or clip did not have significant differences.
Conclusion: Examining the effectiveness of the teaching methods in this project will help the public relations of the university to act quickly for the changes that will occur in the field of web branding in the future, in terms of preparing and accompanying the audience.
Maryam Andalib Kondori, Ahmadreza Varnaseri, Maryam Ghanbari Khoshnood, Seyed Abedin Hoseini Ahangari, Mohammad Karim Saberi, Hamid Bourghi,
Volume 17, Issue 6 (2-2024)
Volume 17, Issue 6 (2-2024)
Abstract
Background and Aim: This research aimed to study the status of providing health information services in public libraries in Tehran, which was conducted based on the views of librarians working in these libraries.
Materials and Methods: The research method was applied in terms of its purpose and descriptive in terms of data collection, which was conducted as a survey. The statistical population was 150 librarians of public libraries in Tehran. The tool for collecting information was a researcher-made questionnaire. Data analysis was done using SPSS statistical software..
Results: The status of health information resources available in public libraries of Tehran is low and very low in most sources. The level of familiarity of librarians with health and public health issues is %20. The level of familiarity of librarians with selective dissemination of health information services is low and very low with %77.4. The participation rate of librarians in medical information workshops is faced with the non-participation of %70 of librarians. The familiarity of librarians with the services of selective distribution of health information is low and very low. %60 of librarians are not familiar with medical information systems. The percentage of familiarity of librarians with internal medical websites is %60-78 weak. The percentage of familiarity of librarians with foreign international websites in the field of health is average. Librarians consider the main reason for providing selective health information services to improve the level of health literacy in the society. Also, the main obstacle to providing health information dissemination services is the librarian not having enough time to provide services.
Conclusion: The country’s public libraries should consider measures to familiarize librarians with the field of health information and implement policies in this field. Considering the appropriate technical facilities of public libraries in Tehran, it is possible to create and access internal and external health systems and websites. and expanded the sources and documents of librarians’ health information.
Miss Fariba Moalem Borazjani, Azita Yazdani, Reza Safdari, Seyed Mansoor Gatmiri,
Volume 17, Issue 6 (2-2024)
Volume 17, Issue 6 (2-2024)
Abstract
Background and Aim: Kidney failure is a common and increasing problem in Iran and worldwide. Kidney transplantation is recognized as a preferred treatment method for patients with end-stage renal disease (ESRD). Machine learning, as one of the most valuable branches of artificial intelligence in the field of predicting patient outcomes or predicting various conditions in patients, has significant applications. The purpose of this research was to predict kidney transplant outcomes in patients using machine learning.
Materials and Methods: Since CRISP is one of the strongest methodologies for implementing data mining projects, it was chosen as the working method. In order to identify the factors affecting the prediction of kidney transplant outcomes, a researcher-created checklist was sent to some of nephrologists nationwide to determine the importance of each factor. The results were analyzed and examined. Then, using Python language and different algorithms such as random forest, SVM, KNN, deep learning, and XGBoost the data was modeled.
Results: The final model was multilabel, capable of predicting various kidney transplant outcomes, including rejection probability, diabetic reactions, malignant reactions, and patient rehospitalization. After modeling the input data features, the model was able to predict the four kidney transplant outcomes such as rejection, diabetes, malignancy and readmission with an error rate of less than 0.01.
Conclusion: The high level of accuracy and precision of the random forest model demonstrates its strong predictive power for forecasting kidney transplant outcomes. In this study, the most influential factors contributing to patient susceptibility to the mentioned outcomes were identified. Using this machine learning-based system, it is possible to predict the probability of these outcomes occurring for new cases.
Seyed Mohammad Sadegh Dashti, Amid Khatibi Bardsiri, Mehdi Jafari Shahbazzadeh,
Volume 18, Issue 1 (3-2024)
Volume 18, Issue 1 (3-2024)
Abstract
Background and Aim: Medical reports and electronic health records are critically important for diagnosis, treatment, patient protection, and medical research. Correcting spelling errors in medical texts is essential to ensure accurate interpretation of information. This research was conducted to automatically correct spelling mistakes in Persian medical texts using neural networks.
Material and Methods: In this study, which was conducted in 2023, a computational model based on artificial intelligence neural networks and dual embedding techniques was developed using Python in a Windows environment. The dual embedding model was fine-tuned for correcting spelling errors in Persian sonography texts. The proposed model employs various techniques for automatic error detection, including dictionary lookup approach and contextual similarity coefficients. Furthermore, features specific to text processing, such as Edit-Distance, along with similarity coefficients, were utilized to automatically select the most appropriate substitute for a misspelled word. The training and testing data for the current model were sourced from a collection of sonography texts from the Imam Khomeini Hospital’s sonography clinic in Tehran.
Results: The proposed model which is based on artificial neural networks, leverages a novel dualembedding architecture to select the best candidate words for correcting both non-word and real-word errors. According to the evaluation results on Persian sonography text, the proposed model achieved an F-Measure accuracy of 90.5% in detecting real-word errors. Furthermore, it demonstrated an impressive 90% accuracy in automatically correcting these real-word errors. Additionally, the model exhibited a strong performance, achieving 90.8% accuracy in correcting non-word errors.
Conclusion: Based on the evaluation results, the proposed method is robust against various changes in word forms and can effectively manage a wide range of morphological and semantic errors, including replacements, transpositions, insertions, and deletions in medical texts. The integration of EditDistance with textual similarity coefficients extracted from the dual embedding model significantly enhanced the accuracy of spelling corrections in Persian sonography texts, ensuring greater validity of such documents. The authors believe that the proposed model represents a significant advancement in the detection and correction of spelling errors in Persian sonography texts.
Material and Methods: In this study, which was conducted in 2023, a computational model based on artificial intelligence neural networks and dual embedding techniques was developed using Python in a Windows environment. The dual embedding model was fine-tuned for correcting spelling errors in Persian sonography texts. The proposed model employs various techniques for automatic error detection, including dictionary lookup approach and contextual similarity coefficients. Furthermore, features specific to text processing, such as Edit-Distance, along with similarity coefficients, were utilized to automatically select the most appropriate substitute for a misspelled word. The training and testing data for the current model were sourced from a collection of sonography texts from the Imam Khomeini Hospital’s sonography clinic in Tehran.
Results: The proposed model which is based on artificial neural networks, leverages a novel dualembedding architecture to select the best candidate words for correcting both non-word and real-word errors. According to the evaluation results on Persian sonography text, the proposed model achieved an F-Measure accuracy of 90.5% in detecting real-word errors. Furthermore, it demonstrated an impressive 90% accuracy in automatically correcting these real-word errors. Additionally, the model exhibited a strong performance, achieving 90.8% accuracy in correcting non-word errors.
Conclusion: Based on the evaluation results, the proposed method is robust against various changes in word forms and can effectively manage a wide range of morphological and semantic errors, including replacements, transpositions, insertions, and deletions in medical texts. The integration of EditDistance with textual similarity coefficients extracted from the dual embedding model significantly enhanced the accuracy of spelling corrections in Persian sonography texts, ensuring greater validity of such documents. The authors believe that the proposed model represents a significant advancement in the detection and correction of spelling errors in Persian sonography texts.
Fatemeh Mirshekari, Elham Maserat,
Volume 18, Issue 2 (5-2024)
Volume 18, Issue 2 (5-2024)
Abstract
Background and Aim: Considering the growing trend of cancer in Iran, the development and implementation of digital health literacy systems accelerates the capabilities of digital health and the self-management process of patients. Digital health literacy means the ability to effectively and consciously use digital technologies to access health-related information and services. This skill plays an important role in accessing medical information, disease management, improving the quality of life of people, especially cancer patients. Digital health literacy is considered as one of the most key factors of equal access to digital health information. The purpose of the present study was to formulate the requirements of the digital health literacy system with a focus on cancer.
Materials and Methods: The present study was conducted in two phases of literature review and validity and reliability of requirements in 2023. In the first stage, a literature review was conducted with the keywords of digital health literacy, cancer, requirements, system and application in databases such as PubMed, Scopus, Google Scholar, academic Jihad scientific database and specialized websites. To check the content validity of the survey, 62 experts were surveyed and CVI and CVR were calculated.
Results: Hundered and twenty seven functional and non-functional components were approved. Requirements in the functional section was divided in six main dimensions information literacy module (8 functional components), information and communication technology literacy module (18 functional components), media literacy (5 functional components), public, specialized and population-oriented health literacy module (47 functional components) ), digital health literacy module (28 functional components), and digital health literacy module in cancer (6 functional components) were divided. In the section of digital health literacy in cancer, the main components of needs assessment, digital health literacy training, evaluation and monitoring of the effectiveness of digital interventions and information search skills were approved. Fifteen non-functional components were also approved. Cronbach’s alpha coefficient obtained (92%) indicated high reliability and reproducibility.
Conclusion: Digital health literacy systems can facilitate health care services. Considering the acceptable validity and reliability of the study, the defined requirements can be used to implement digital health literacy systems centered on cancer.
Materials and Methods: The present study was conducted in two phases of literature review and validity and reliability of requirements in 2023. In the first stage, a literature review was conducted with the keywords of digital health literacy, cancer, requirements, system and application in databases such as PubMed, Scopus, Google Scholar, academic Jihad scientific database and specialized websites. To check the content validity of the survey, 62 experts were surveyed and CVI and CVR were calculated.
Results: Hundered and twenty seven functional and non-functional components were approved. Requirements in the functional section was divided in six main dimensions information literacy module (8 functional components), information and communication technology literacy module (18 functional components), media literacy (5 functional components), public, specialized and population-oriented health literacy module (47 functional components) ), digital health literacy module (28 functional components), and digital health literacy module in cancer (6 functional components) were divided. In the section of digital health literacy in cancer, the main components of needs assessment, digital health literacy training, evaluation and monitoring of the effectiveness of digital interventions and information search skills were approved. Fifteen non-functional components were also approved. Cronbach’s alpha coefficient obtained (92%) indicated high reliability and reproducibility.
Conclusion: Digital health literacy systems can facilitate health care services. Considering the acceptable validity and reliability of the study, the defined requirements can be used to implement digital health literacy systems centered on cancer.
Related Websites
Site Keywords
Health Information Management, Health Care Management, Medical Laboratory Sciences, Medical Library & Information Sciences, Radiation Biology (Radiobiology and Radiation Protection), Operating Room, Anesthesiology
Site Statistics- Registered users: 3343 users
- Online users: 0 users
- Guest users: 106 users
- All visits: 6296965 visits
- Visits in 24 Hours: 19407 visits
- Total articles: 3227 articles
- Published articles: 831 articles
© 2026 , Tehran University of Medical Sciences, CC BY-NC 4.0
Designed & Developed by: Yektaweb